mythicinfinity/libritts_r
Permissive or share-alike
The declared licence (cc-by-4.0) is classified as permissive.
Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.
Evidence
- Declared licence: cc-by-4.0 (from the tag)
- Licence files: no licence file at the top level of the repository
- Access gated on Hugging Face: no
Declared sources
No source datasets listed in the card metadata.
Signal
See all datasets marked Permissive or share-alike.
Tasks
Citation text from the card
@ARTICLE{Koizumi2023-hs,
title = "{LibriTTS-R}: A restored multi-speaker text-to-speech corpus",
author = "Koizumi, Yuma and Zen, Heiga and Karita, Shigeki and Ding,
Yifan and Yatabe, Kohei and Morioka, Nobuyuki and Bacchiani,
Michiel and Zhang, Yu and Han, Wei and Bapna, Ankur",
abstract = "This paper introduces a new speech dataset called
``LibriTTS-R'' designed for text-to-speech (TTS) use. It is
derived by applying speech restoration to the LibriTTS
corpus, which consists of 585 hours of speech data at 24 kHz
sampling rate from 2,456 speakers and the corresponding
texts. The constituent samples of LibriTTS-R are identical
to those of LibriTTS, with only the sound quality improved.
Experimental results show that the LibriTTS-R ground-truth
samples showed significantly improved sound quality compared
to those in LibriTTS. In addition, neural end-to-end TTS
trained with LibriTTS-R achieved speech naturalness on par
with that of the ground-truth samples. The corpus is freely
available for download from
\textbackslashurl\{http://www.openslr.org/141/\}.",
month = may,
year = 2023,
copyright = "http://creativecommons.org/licenses/by-nc-nd/4.0/",
Downloads (30 days): 15164. Likes: 48. Last modified: 2024-02-09T21:20:19.000Z.